Apache Kafka for Data Engineering Explained in 10 Minutes 📝
When you purchase any product from Amazon you need every notification on a real-time basis, you order some food, you want to track where the driver has reached
Real-time data Streaming is everywhere, these days you want everything in real time!
But we didn’t start with this :)
The Internet started booming in the early 2000s, A lot of new people started getting access to the Internet.
The data volume and the speed at which the data was getting generated were low but due to the rise of social media and more and more people getting access to the internet.
Data started growing at a rapid pace and it was not just about the size of the data but the speed at which it was getting generated.
The business wanted to use these data to understand their customer, provide better services
We used batch processing for this, they used to get chunks of data and process it in batches like once every day or weeks
This is good for analytics but what if there are cases where you need to take action immediately as the event happens?
For example, if there is a fraud transaction from your credit card, you need a real-time system that processes data right away so that you can get a notification about it
There was a need for real-time data processing and at that time we had a system that made it possible
Companies used message brokers like RabbitMQ and traditional databases. These tools worked well for small-scale applications, but as data grew, they struggled to keep up with the real-time demands of modern, large-scale systems.
Latency and bottlenecks were constant challenges. The team spent countless hours optimizing and scaling these systems, but there were many limitations.
The industry needed something more robust, scalable, and capable of handling streaming data.
Enters Apache Kafka 😎
Learning everything about Apache Kafka with a complete End-To-End Project here - https://t.co/APXp2Xszov
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And yet, I do NOT work for Amazon.
I simply use 2 very powerful artificial intelligence sites.
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Having multiple tenants sharing a Kubernetes cluster makes sense from a cost perspective, but what's the overhead?
How much should you invest to keep the tenant isolated, and how does it compare to running several clusters?
We ran three experiments and recorded the costs.
✅ Terraform : 5 Mini Projects to get Hands-on
In this post, let's go through 5 mini-projects using Terraform to provision AWS resources.
Important Considerations:
Prerequisites:
- An AWS Account
- Terraform installed on your system.
- AWS credentials configured.
Providers: Make sure to explicitly include the AWS provider within each Terraform project.
State Management: Terraform maintains a state file; choose a storage method (local or consider remote backends like S3 for collaboration).
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DevOps is really important for companies to deliver their software faster, with better quality, and at lower costs.
Sharing some resources which would be really to kickstart your journey with DevOps.
A thread 🧵
Watch 2nd episode of our #NoShakNiveshak series, where our Joshiji is informed about the simple process to get his father’s lost physical shares into his demat A/C.
Like Joshi ji, you too can get your Misplaced/Lost Physical Share Certificates by following simple steps.